Instructions to use mrm8488/RuPERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RuPERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RuPERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1814089a25f8368e89de0aadef7a842733c80bc1e8795b1b0846818a7c49c316
- Size of remote file:
- 507 MB
- SHA256:
- 04966c1189dc739737469d74ad7355f456090b5bd2897590810dd7fe12f40c5e
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